PHILADELPHIA, PA — Qlik announced that Mark Relph, a director at Amazon Web Services, has joined the company’s AI Council, adding senior cloud and ecosystem expertise as enterprises accelerate efforts to turn artificial intelligence into operational results.
The AI Council advises Qlik on how organizations can deploy AI using data that is governed, trusted, and ready for real-world use, with an emphasis on production deployments rather than experimental pilots. Qlik said Relph’s appointment reflects growing demand from customers for practical guidance as AI systems move closer to decision-making roles inside organizations.
Relph brings experience spanning cloud services, partner ecosystems, and enterprise adoption. At AWS, he works with partners and internal product teams to convert market needs into scalable approaches customers can implement across large environments. During his tenure, he has contributed to the launch of more than 32 AWS services, including AWS Lambda, API Gateway, Amazon Bedrock, and Amazon Q.
Qlik Chief Executive Officer Mike Capone said enterprise AI success depends less on prototypes and more on trust, governance, and execution across complex ecosystems. He said the AI Council is designed to challenge assumptions and keep Qlik focused on solutions customers can deploy safely at scale, adding that Relph’s background aligns with that mission.
Relph said organizations are rapidly shifting from AI experimentation to pressure for measurable outcomes, a transition that often exposes long-standing data and coordination challenges. He said Qlik’s focus on addressing inconsistent data, unclear definitions, and fragmented execution influenced his decision to join the council after participating in discussions at Qlik Connect 2025.
Qlik launched the AI Council in 2024 to incorporate external perspectives into how it develops products and guidance for customers adopting AI with appropriate governance and accountability. Current members include Nina Schick, Dr. Rumman Chowdhury, Kelly Forbes, and Professor Michael Bronstein, representing expertise in AI governance, responsible AI, public-private collaboration, and academic research.
The addition of Relph comes as enterprises increasingly seek AI systems that can be trusted to drive action, not just insight, raising the stakes for data quality, governance, and execution across the AI stack.
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